Knowledge, Innovation, and Entrepreneurial Systems at HICSS

This paper presents an overview and history of the knowledge, innovation, and entrepreneurial systems (KIES) track and the knowledge and related systems research community at the Hawaii International Conference on System Sciences (HICSS). This community began as a task force that examined organizational memory in HICSS-27. It has since evolved into a mini-track, a research cluster, and, finally, a full research track that encompasses research knowledge, innovation, and entrepreneurial systems. In this paper, we acquaint knowledge system researchers with a research community that has leveraged HICSS to develop a rich history of high-quality scholastic inquiry in the knowledge system, knowledge management, innovation systems, entrepreneurial systems, organizational memory, and organizational learning research areas

Reflections on Twenty Years of Electric Power Research at HICSS

The Electric Power Track activities at HICSS began twenty years ago. This is an account of its history, its focus, and its impact over those years

25+ Years of Business Intelligence and Analytics Minitrack at HICSS: A Text Mining Analysis

This research project is inspired by the occasion of the 50th anniversary of the Hawaii International Conferences on Systems Sciences (HICSS). As the current co-chairs of the longest-running minitrack on Business Intelligence (BI), Business Analytics (BA) and Big Data (as it is currently known) at HICSS, we report on its 27-year history of relevant and interesting research. Our insights into the key research themes and their progress over time were obtained through a semantic text mining of all research publications included in this minitrack since 1990. We also illustrate a practical method of using a sophisticated text-mining tool (Leximancer) so that it could be replicated by other researchers interested in content analysis methods in other research fields

Journey Towards Agility – A Retro- and Prospective Review

After more than 15 years since the Agile Manifesto and extensive research on agile software development (ASD) for nearly three decades, a comprehensive body of knowledge is available and is constantly growing. ASD is considered an effective way for managing software development projects in environments characterized by rapidly changing requirements. This study aims to shed light on the existing knowledge on ASD by applying a structured literature review and computer aided analysis consisting of distinct text mining techniques. We analyzed a sample of 1,376 papers and provide results from articles among relevant information systems research as well as computer science conferences and journals. Based on our approach, we are able to (1) evaluate key articles and journals, (2) analyze the development of ASD research in the last three decades and, most importantly, (3) identify research foci of the past as well as gaps in our knowledge on ASD

Enterprise Resource Planning Systems Research: An Annotated Bibliography

Despite growing interest, publications on ERP systems within the academic Information Systems community, as reflected by contributions to journals and international conferences, is only now emerging. This article provides an annotated bibliography of the ERP publications published in the main Information Systems journals and conferences and reviews the state of the ERP art. The publications surveyed are categorized through a framework that is structured in phases that correspond to the different stages of an ERP system lifecycle within an organization. We also present topics for further research in each phase

An Updated ERP Systems Annotated Bibliography: 2001-2005

The goal of this study is to provide an updated annotated bibliography of ERP publications published in the main IS conferences and journals during the period 2001-2005, categorizing them through an ERP lifecycle based framework that is structured in phases. The first version of this bibliography was published in 2001 (Esteves and Pastor, 2001c). However, so far, we have extended the bibliography with a significant number of new publications in all the categories used in this paper. We also reviewed the categories and some incongruities were eliminated. Furthermore, we present topics for further research in each phase

Tribal Governance: The Business of Blockchain Authentication

The blockchain technology offers a novel mode of distributed authentication, which does not depend on a central authority. We consider this novelty against established governance modes. We illustrate our argument by paying special attention to blockchain-based authentication functions in the empirical domain of land registries across the world. Based on interviews with representatives from organizations deploying blockchain, and con-tent analysis of related grey literature, we discuss established governance idealtypes against what the rivalry that cryptocurrencies and blockchains bring to digital settings. After referring to market, hierarchy, network, and bazaar, we conclude outlining the prospects of a different, blockchain-related governance mode called -˜tribal’ that better captures the -˜togetherness’ which rivalry originates

Autonomy in Video Games and Gamification

In the past decade, gamification (using game elements in non-gaming tasks to enhance motivation and engagement) has become a popular concept in many industries, but few studies have explored the principles under which it works. Self-determination theory suggests three psychological needs that gamification fulfills: competence, relatedness, and autonomy. Autonomy, a person\u27s perception that they have the ability to act however they choose, has emerged as an important, yet less-studied aspect in gamification. Inclusion of autonomy in gamification should foster engagement, enjoyment, and better performance. An experiment inspired by the above was carried out in which a sample of college students (N = 57) played a video game called Super Mario Bros. Crossover with either the choice to customize the aesthetics of their character and background (autonomy-supportive) or no choice of aesthetics (non-supportive). It was hypothesized that conditions involving more choice would lead to higher perceived autonomy and performance, and that perceived autonomy would be positively correlated with engagement, enjoyment, and performance. The manipulation resulted in no significant difference in perceived autonomy or performance, and perceived autonomy was only significantly positively correlated with enjoyment. Prior Super Mario Bros. experience was also found to positively correlate with perceived autonomy in the autonomy-supportive condition. The choice of aesthetics does not appear to have been sufficiently strong enough to increase perceived autonomy in this context

Phygitar - Envisioning the Rhythmic Phygital Ecosystem in 2050

This paper takes us to a possible future world called Phygitar - a rhythmic phygital ecosystem in 2050 where the co-existence of people, technology, and nature flow in rhythmic synthesis, and where digital and physical are seamlessly fused. Using the approaches of futures-studies, this envisioning is done to better understand concepts from 2050 and see how we can engage with and use those effectively in 2023 for IS theory development and management practice. We use the 2009 movie “Avatar” by James Cameron as the playground of our imagination. We apply illustrative elements to depict some key characteristics and concepts from of this rhythmic phygital ecosystem and show some ways of navigating through it. We hope this will trigger the imagination of scholars of what might be out there in the next generation of post-digital IS theories rather than being rooted in the mindset of what is or what has been

Recent Advances in Computational Methods for the Power Flow Equations

The power flow equations are at the core of most of the computations for designing and operating electric power systems. The power flow equations are a system of multivariate nonlinear equations which relate the power injections and voltages in a power system. A plethora of methods have been devised to solve these equations, starting from Newton-based methods to homotopy continuation and other optimization-based methods. While many of these methods often efficiently find a high-voltage, stable solution due to its large basin of attraction, most of the methods struggle to find low-voltage solutions which play significant role in certain stability-related computations. While we do not claim to have exhausted the existing literature on all related methods, this tutorial paper introduces some of the recent advances in methods for solving power flow equations to the wider power systems community as well as bringing attention from the computational mathematics and optimization communities to the power systems problems. After briefly reviewing some of the traditional computational methods used to solve the power flow equations, we focus on three emerging methods: the numerical polynomial homotopy continuation method, Groebner basis techniques, and moment/sum-of-squares relaxations using semidefinite programming. In passing, we also emphasize the importance of an upper bound on the number of solutions of the power flow equations and review the current status of research in this direction.Comment: 13 pages, 2 figures. Submitted to the Tutorial Session at IEEE 2016 American Control Conferenc